A PCA-based likelihood ratio model for forensic gait analysis from empirical data produces misleading results in less than 10% of comparisons but is sensitive to mis-specification of within-individual variability.
The Development and Testing of a Forensic Interpretation Framework for use on Anthropometric and Morphological Data Collected During Stance and Gait
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.AP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Evaluating the probative value of forensic gait analysis evidence using empirical data
A PCA-based likelihood ratio model for forensic gait analysis from empirical data produces misleading results in less than 10% of comparisons but is sensitive to mis-specification of within-individual variability.